Triple
T6000954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Flashes |
E133592
|
entity |
| Predicate | numberOfVarsityTeams |
P6986
|
FINISHED |
| Object | over 15 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: over 15 | Statement: [Golden Flashes, numberOfVarsityTeams, over 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVarsityTeams Context triple: [Golden Flashes, numberOfVarsityTeams, over 15]
-
A.
numberOfTeamsInUnitedStates
Indicates the total count of teams that are located within or belong to the United States.
-
B.
hasNumberOfTeams
chosen
Indicates the quantity of teams associated with or contained by a given entity.
-
C.
numberOfSports
Indicates the quantity of distinct sports associated with or involved in a given entity.
-
D.
collegeTeam
Indicates that one entity is a sports team that represents or is affiliated with a particular college or university.
-
E.
isCollegiateLeague
Indicates that a sports league operates at the college or university level, involving teams representing academic institutions.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee7c0e08190a6e78969448b070a |
completed | March 22, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.